Just watched Voyager season 2 episode 14, Alliances. Voyager is good actually
dualmindblade
joined 5 years ago
Oldness can come in big lurches. I suddenly went from being carded for alcohol every time to maybe 2 times a year. During the last 20 months I added 1:30 to my mile time, my cognitive activities decreased significantly, I lost a 3" patch of hair off the top of my head and the rest thinned 75%. I have to stop myself from telling my adult kid to make sure they're getting regular sleep whenever they tell me they've been up late studying. I haven't been asked by a stranger if I have any weed for several years.
This is not arrogance it's playful language for humorous effect. The real reason to not eat fake meat is that it usually doesn't taste very good no matter how you prepare it, whereas traditional vegan food can be amazing
Why do we behave as if we're conscious, talk about our conscious experience, and consider it to be an important concept?
Our minds are to a large extent predictive machines, they try to form a model of what we will experience next, which means forming a model of the world, which means forming a model of ourselves. Not just our minds though, the smaller components of our minds tend to do the same thing, they form a model of the landscape in which they operate, trying to predict what other parts they connect to will do next and how they themselves will respond, and components of those components, all the way down to individual neural circuits. At each level we have a degree of self-referentiality built in, as well as references to both lower and higher level systems.
Why should such a system be built like that at smaller levels of description? One reason is that it's useful, related modules may benefit from having the capabilities of their counterparts. If you're a doctor it might make sense to know a thing or two about physics, to absorb some of the intuition of a physicist at least, or in other words to have a shitty but cheap model of how a full time physicist might approach a problem. It might also make sense to have models of the institution employing you, and certainly it makes sense to understand yourself and the parts of your body so you can better understand your patients.
The other is that it aids in learning by way of providing constant feedback. A cortical column is rather alienated from the life experience of its doctor host, it will be very difficult for a brain to route feedback for how its behavior affected long term patient care back to such a tiny part so that part can learn to be a better aide, easier but still difficult to route feedback for predicted patient outcome, as it's closer in time, but if part of its job is to predict itself, its direct neighbors, and the larger circuit it belongs to, getting feedback is going to be a lot easier, it comes immediately and in high fidelity. This all pervading self referentiality and self contextualization is a basic fact of our architecture, since we require to model ourselves at a high level it is not surprising that it forms an important concept for us, which we have given the name consciousness.
Yeah but why does it actually feel like something to be alive, like from the inside, like I actually have qualia I swear. Also, why should my experience be broken into discreet moments, why do they flow from one to the next in order, why does this moment I'm experiencing now specifically seem to be privileged above the future and past ones?
No idea.
Interesting. Just a clarification, overfitting and memorization are not quite the same thing to my understanding. Overfitting is when a model memorizes rather than generalizing, but very large models can and will do both. If you ask an image generator for "a reproduction of starry night by van gogh hanging on the wall", or a LLM to complete "to be or not to be, that is _" you are referring to something very specific that you'd like reproduced exactly. If the model outputs what you wanted you would call that memorization but not overfitting. Still you may want to suppress memorization and you certainly don't want overfitting. Side note, massively overparameterized models are better at both memorization and generalization and are naturally resistant to overfitting as I define it, that last thing would have surprised early ML researchers since they had noticed the opposite trend, but that trend reverses when you go large enough. Also, they will sometimes memorize on a single pass through the data, even if there's no duplication, which is quite remarkable.
Via bing image creator, yes
My family's first computer had 4 colors, 32k of ram, floppy disks that actually flopped, and a 1 mb hard drive. And a dot matrix printer that did like half a page per minute. I was able to chain smoke cigarettes all night at Perkins legally.
Browsing r/researchchemicals, r/drugs etc you see stuff with a similar vibe, barred out people believing they're 100% sober posting barely readable nonsense
I used it to quit sugared sparkling beverages, should have used it for drugs lol. I drink almost exclusively fizzy water now, as in it replaces water for me, it's a problem
He did a whole bunch of pyrovalerones, mostly a-pvp and mdpv iirc. A rather cursed class of drugs known for blending the worst aspects of meth and crack, causing extreme hypersexuality and paranoia, and smelling like cum
Who's feet are that tiny and triangular?